Eee projects on ai enabled autonomous drone for power line inspection — Simulation & Power Modeling

Abstract — Eee projects on ai enabled autonomous drone for power line inspection

Eee Projects On Ai Enabled Autonomous Drone For Power Line Inspection: Power Electronics, MATLAB/Simulink & Circuit Modeling Integrated Analysis: MATLAB/Simulink · MOSFET/IGBT Gate Drivers · SPWM/SVPWM · THD Spectrum · ~8053 Words Chapter 1: Power Electronics Overview, System Specifications & Topology Modeling Drones have the potential to revolutionize power line inspection by increasing productivity, reducing inspection time, improving data quality, and eliminating the risks for human operators. Current state-of-the-art systems for power line inspection have two shortcomings: (i) control is decoupled from perception and needs accurate information about the location of the power lines and masts; (ii) obstacle avoidance is decoupled from the power line tracking, which results in poor tracking in the vicinity of the power masts, and, consequently, in decreased data quality for visual inspection. In this work, we propose a model predictive controller (MPC) that overcomes these limitations by tightly coupling perception and action. Our controller generates commands that maximize the visibility of the power lines while, at the same time, safely avoiding the power masts. For power line detection, we propose a lightweight learning-based detector that is trained only on synthetic data and is able to transfer zero-shot to real-world power line images. We validate our system in simulation and real-world experiments on a mock-up power line infrastructure. We release our code and datasets to the public.

Analytical & State-Space Control Methodology

Drones exhibit the potential to bring about a revolutionary transformation in the industrial inspection market [ 1 , 2 ] . Particularly, quadrotors are a fast-to-deploy and cost-effective solution for power line inspection. The EU and US power systems consist of more than 10 million km of power lines and distribution transformers, which connect more than 400 million customers [ 3 , 4 ] . The power line infrastructure needs to be inspected regularly to avoid power outages and natural disasters (California’s second-largest wildfire was sparked when power lines came in contact with a tree ).

Simulink Waveforms & Power Quality Findings

Power line inspection requires teams of specialized human labor who use ad-hoc equipment, such as ropes and scaffoldings, to access the power line infrastructure and manned helicopters for long-range operations. These factors result in high expenses, significant dangers for human operators, and low productivity in the inspection operation. Quadrotors can cut the costs by 50 % 50\% as a consequence of the increase of productivity, the reduction of the inspection time, the improvement of the data quality, and the elimination of the risks for the human operators .

Scope & Practical Applications

• High-efficiency DC-DC converters and isolated resonant topologies (LLC / DAB)
• Sinusoidal and Space Vector PWM inverters for grid integration & industrial motor drives
• MOSFET / IGBT gate driver optimization with active Miller-clamp shoot-through protection
• Power quality conditioning with Total Harmonic Distortion (THD) strictly compliant with IEEE 519
• Complete Simscape .SLX model files, parameter calculation scripts, and IEEE dissertation reports